Search Results - "Sadhu, Anup K."

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  1. 1

    Adaptive Local Ternary Pattern on Parameter Optimized-Faster Region Convolutional Neural Network for Pulmonary Emphysema Diagnosis by Mondal, Sumita, Sadhu, Anup K., Dutta, Pranab Kumar

    Published in IEEE access (01-01-2021)
    “…Emphysema is a lung disease that occurs due to abnormal alveoli expansion. This chronic disease causes difficulty in breathing which can lead to lung cancer…”
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    Journal Article
  2. 2

    Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review by Halder, Amitava, Dey, Debangshu, Sadhu, Anup K.

    Published in Journal of digital imaging (01-06-2020)
    “…This paper presents a systematic review of the literature focused on the lung nodule detection in chest computed tomography (CT) images. Manual detection of…”
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    Journal Article
  3. 3

    Multi-scale dual-channel feature embedding decoder for biomedical image segmentation by Agarwal, Rohit, Ghosal, Palash, Sadhu, Anup K., Murmu, Narayan, Nandi, Debashis

    “…Attaining global context along with local dependencies is of paramount importance for achieving highly accurate segmentation of objects from image frames and…”
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    Journal Article
  4. 4

    Delineation and diagnosis of brain tumors from post contrast T1-weighted MR images using rough granular computing and random forest by Koley, Subhranil, Sadhu, Anup K., Mitra, Pabitra, Chakraborty, Basabi, Chakraborty, Chandan

    Published in Applied soft computing (01-04-2016)
    “…•A new approach of tumor area delineation from T1C brain MR image.•A complete framework of detection and characterization of brain tumors.•The diagnosis can be…”
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    Journal Article
  5. 5
  6. 6

    A computer-aided tool for automatic volume estimation of hematoma using non-contrast brain CT scans by Nag, Manas K, Koley, Subhranil, Sadhu, Anup K, Dutta, Pranab K, Holsouser, Barbara, Ashwal, Stephen, Ghosh, Nirmalya

    Published in Biomedical physics & engineering express (01-07-2023)
    “…The computation of hematoma volume is the key parameter for treatment planning of Intracerebral hemorrhage (ICH). Non-contrast computed tomography (NCCT)…”
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    Journal Article
  7. 7

    Multispectral MRI Image Fusion for Enhanced Visualization of Meningioma Brain Tumors and Edema Using Contourlet Transform and Fuzzy Statistics by Koley, Subhranil, Galande, Ashwini, Kelkar, Bhooshan, Sadhu, Anup K., Sarkar, Debranjan, Chakraborty, Chandan

    “…This paper proposes a multispectral magnetic resonance imaging (MRI) image fusion scheme for improved visualization of anatomical and pathological information…”
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    Journal Article
  8. 8

    Automated in vivo delineation of lumen wall using intravascular ultrasound imaging by China, Debarghya, Nag, Manas K., Mandana, K. M., Sadhu, Anup K., Mitra, Pabitra, Chakraborty, Chandan

    “…This paper presents a novel methodology for automated detection and extraction of the lumen wall from Intravascular Ultrasound (IVUS) frames. IVUS is an…”
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    Conference Proceeding Journal Article
  9. 9

    Automated diagnosis of pulmonary emphysema using multi-objective binary thresholding and hybrid classification by Mondal, Sumita, Sadhu, Anup K., Dutta, Pranab Kumar

    Published in Biomedical signal processing and control (01-08-2021)
    “…•Performs the pulmonary emphysema diagnosis with binary thresholding and hybrid classification.•Produces a novel hybrid meta-heuristic algorithm called BM-BOA…”
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    Journal Article
  10. 10

    Pixel-based Bayesian classification for meningioma brain tumor detection using post contrast T1-weighted magnetic resonance image by Koley, Subhranil, Das, Dev Kumar, Chakraborty, Chandan, Sadhu, Anup K.

    “…This paper introduces Bayesian approach for automated delineation of meningioma brain tumor using post contrast T 1 weighted magnetic resonance image. The…”
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    Conference Proceeding